Agent Workflows · By tech-leads-club

Evaluates a repository's agent harness (AGENTS.md, rules, skills) for broken paths, redundant instructions and usefulness, and stops at reports.

tech-leads-club/agent-skills

Guides you through designing a new agent skill by conversation, from discovery questions and architecture to drafting SKILL.md, validation and delivery.

tech-leads-club/agent-skills

A skill your agent uses when a question, decision, plan, tradeoff, or claim needs a rigorous verdict and one perspective is not enough.

tech-leads-club/agent-skills

Plans and implements a feature through four phases, specify, design, tasks and execute, with testable requirements, atomic commits and a separate verifier checking the work.

tech-leads-club/agent-skills

Spec-driven feature work that freezes obligations instead of the plan: one human-reviewed plan with EARS criteria, path, entities, interface and one-way doors, then proof-backed checks, then build…

tech-leads-club/agent-skills

Turns an already-planned ticket or spec into a checklist, builds it, and has a fresh verifier agent prove each check independently.

tech-leads-club/agent-skills

Creates Cursor-specific AI subagents with isolated context for complex multi-step workflows.

tech-leads-club/agent-skills

Manage Jira issues via Atlassian MCP — search, create, update, transition status, and handle sprint tasks.

tech-leads-club/agent-skills

Autonomous senior-operator mode for AI agents that resolve tasks end to end without babysitting and never create new problems.

tech-leads-club/agent-skills

Guide for creating AI subagents with isolated context for complex multi-step workflows.

tech-leads-club/agent-skills